Background

Pharmacy dispensing data are frequently used to identify prevalent medication use as a predictor or covariate in observational research studies. Although several methods have been proposed for using pharmacy dispensing data to identify prevalent medication use, little is known about their comparative performance.

Objectives

The authors sought to compare the performance of different methods for identifying prevalent outpatient medication use.

Research design

Outpatient pharmacy fill data were compared with medication reconciliation notes denoting prevalent outpatient medication use at the time of hospital admission for a random sample of 207 patients drawn from a national cohort of patients admitted to Veterans Affairs hospitals. Using reconciliation notes as the criterion standard, we determined the test characteristics of 12 pharmacy database algorithms for determining prevalent use of 11 classes of cardiovascular and diabetes medications.

Results

The best-performing algorithms included a 180-day fixed look-back period approach (sensitivity, 93%; specificity, 97%; and positive predictive value, 89%) and a medication-on-hand approach with a grace period of 60 days (sensitivity, 91%; specificity, 97%; and positive predictive value, 91%). Algorithms that have been commonly used in previous studies, such as defining prevalent medications to include any medications filled in the prior year or only medications filled in the prior 30 days, performed less well. Algorithm performance was less accurate among patients recently receiving hospital or nursing facility care.

Conclusion

Pharmacy database algorithms that balance recentness of medication fills with grace periods performed better than more simplistic approaches and should be considered for future studies which examine prevalent chronic medication use.

US cholesterol guidelines use original and simplified versions of the Framingham model to estimate future coronary risk and thereby classify patients into risk groups with different treatment strategies. We sought to compare risk estimates and risk group classification generated by the original, complex Framingham model and the simplified, point-based version. We assessed 2,543 subjects age 20–79 from the 2001–2006 National Health and Nutrition Examination Surveys (NHANES) for whom Adult Treatment Panel III (ATP-III) guidelines recommend formal risk stratification. For each subject, we calculated the 10-year risk of major coronary events using the original and point-based Framingham models, and then compared differences in these risk estimates and whether these differences would place subjects into different ATP-III risk groups (<10% risk, 10–20% risk, or >20% risk). Using standard procedures, all analyses were adjusted for survey weights, clustering, and stratification to make our results nationally representative. Among 39 million eligible adults, the original Framingham model categorized 71% of subjects as having “moderate” risk (<10% risk of a major coronary event in the next 10 years), 22% as having “moderately high” (10–20%) risk, and 7% as having “high” (>20%) risk. Estimates of coronary risk by the original and point-based models often differed substantially. The point-based system classified 15% of adults (5.7 million) into different risk groups than the original model, with 10% (3.9 million) misclassified into higher risk groups and 5% (1.8 million) into lower risk groups, for a net impact of classifying 2.1 million adults into higher risk groups. These risk group misclassifications would impact guideline-recommended drug treatment strategies for 25–46% of affected subjects. Patterns of misclassifications varied significantly by gender, age, and underlying CHD risk. Compared to the original Framingham model, the point-based version misclassifies millions of Americans into risk groups for which guidelines recommend different treatment strategies.

Background and objective

There has been concern over rising use of prescription opioids in young and middle-aged adults. Much less is known about opioid prescribing in older adults, for whom clinical recommendations and the balance of risks and benefits differ from younger adults. We evaluated changes in use of opioids and other analgesics in a national sample of clinic visits made by older adults between 1999 and 2010.

Design, setting, and subjects

Observational study of adults aged 65 and older from the 1999-2010 National Ambulatory Medical Care Survey and National Hospital Ambulatory Medical Care Survey, serial cross-sectional surveys of outpatient visits in the United States.

Methods

Medication use was assessed at each study visit and included medications in use prior to the visit and medications newly prescribed at the visit. Results were adjusted for survey weights and design factors to provide nationally representative estimates.

Results

Mean age was 75 ± 7 years, and 45% of visits occurred in primary care settings. Between 1999-2000 and 2009-2010, the percent of clinic visits at which an opioid was used rose from 4.1% to 9.0% (P < 0.001). Although use of all major opioid classes increased, the largest contributor to increased use was hydrocodone-containing combination opioids, which rose from 1.1% to 3.5% of visits over the study period (P < 0.001). Growth in opioid use was observed across a wide range of patient and clinic characteristics, including in visits for musculoskeletal problems (10.7% of visits in 1999-2000 to 17.0% in 2009-2010, P < 0.001) and in visits for other reasons (2.8% to 7.3%, P < 0.001).

Conclusions

Opioid use by older adults visiting clinics more than doubled between 1999 and 2010, and occurred across a wide range of patient characteristics and clinic settings.

Objective

To determine the distribution of screening prostate-specific antigen (PSA) values in older men, and how different PSA thresholds affect the proportion of white, black, and Latino men who would have an abnormal screening result across advancing age groups.

Methods

We used linked national Veterans Affairs and Medicare data to determine the value of the first screening PSA test (ng/mL) of 327,284 men older than 65 years who underwent PSA screening in the Veterans Affairs health care system in 2003. We calculated the proportion of men with an abnormal PSA result based on age, race, and common PSA thresholds.

Results

Among men older than 65 years, 8.4% had a PSA >4.0 ng/mL. The percentage of men with a PSA >4.0 ng/mL increased with age and was highest in black men (13.8%) vs white (8.0%) or Latino men (10.0%) (P <.001). Combining age and race, the probability of having a PSA >4.0 ng/mL ranged from 5.1% of Latino men aged 65-69 years to 27.4% of black men older than 85 years. Raising the PSA threshold from >4.0 ng/mL to >10.0 ng/mL reclassified the greatest percentage of black men older than 85 years (18.3% absolute change) and the lowest percentage of Latino men aged 65-69 years (4.8% absolute change) as being under the biopsy threshold (P <.001).

Conclusion

Age, race, and PSA threshold together affect the pretest probability of an abnormal screening PSA result. Based on screening PSA distributions, stopping screening among men whose PSA <3 ng/mL means more than 80% of white and Latino men older than 70 years would stop further screening, and increasing the biopsy threshold to >10 ng/mL has the greatest effect on reducing the number of older black men who will face biopsy decisions after screening.

Background

Aging is accompanied by an overall dysregulation of many dynamic physiologic processes including those related to blood pressure (BP). While year-to-year BP variability is associated with cardiovascular events and mortality, no studies have examined this trend with more frequent BP assessments. Our study objective is to take the next step to examine week-to-week BP dynamics-pattern, variability, and complexity-before death.

Methods

Using a retrospective study design, we assessed BP dynamics in the 6 months before death in long-term nursing home residents between 1 October 2006 and 30 September 2017. Variability was characterized using SD and mean squared error after adjusting for diurnal variations. Complexity (i.e., amount of novel information in a trend) was examined using Shannon's entropy (bits). Generalized linear models were used to examine factors associated with overall BP variability.

Results

We identified 17,953 nursing home residents (98.0% male, 82.5% White, mean age 80.2 years, and mean BP 125.7/68.6 mm Hg). Despite a slight trend of decreasing systolic week-to-week BP over time (delta = 7.2 mm Hg), week-to-week complexity did not change in the 6 months before death (delta = 0.02 bits). Average weekly BP variability was stable until the last 3-4 weeks of life, at which point variability increased by 30% for both systolic and diastolic BP. Factors associated with BP variability include average weekly systolic/diastolic BP, days in the nursing home, days in the hospital, and changes to antihypertensive medications.

Conclusions

Week-to-week BP variability increases substantially in the last month of life, but complexity does not change. Changes in care patterns may drive the increase in BP variability as one approaches death.

BACKGROUND: Inadequate treatment of high blood pressure (BP) can lead to preventable adverse events in nursing home residents, while excessive treatment can lead to associated harms. METHODS: Data were extracted from the VA electronic health record and Bar Code Medication Administration system on 40,079 long-term care residents aged ≥65 years from October 2006 through September 2018 (FY2007-2018). Hypertension prevalence at admission was identified by ICD code(s) in the year prior, and antihypertensive medication use was defined as administration ≥50% of days. BP measures were averaged over 2-year epochs. RESULTS: The age-standardized prevalence of hypertension diagnosis at admission increased from 75.2% in FY2007-2008 to 85.1% in FY2017-2018 (p-value for trend <0.001). Rates of BP treatment and control among residents with hypertension at admission declined slightly over time (p-values for trend <0.001) but remained high (80.3% treated in FY2017-2018, 80.1% with average BP <140/90 mmHg). The age-adjusted prevalence of chronic low BP (average <90/60 mmHg) also declined from 11.1% in FY2007-2008 to 4.7% in FY2017-2018 (p-value for trend <0.001). Persons identified as Black race or Hispanic ethnicity and those with a history of diabetes, stroke, and renal disease were less likely to have an average BP <140/90 mmHg. CONCLUSIONS: Hypertension is well controlled in VA nursing homes, and recent trends of less intensive BP control were accompanied by a lower prevalence of chronic low BP. Nonetheless, some high-risk populations have average BP levels >140/90 mmHg. Future research is needed to better understand the benefits and harms of BP control in nursing home residents.

Objective

To investigate how statin use is associated with the probability of having an abnormal screening prostate-specific antigen (PSA) result according to common PSA thresholds for biopsy (>2.5, >4.0, and >6.5 ng/mL).

Methods

We conducted a cross-sectional study of 323,426 men aged ≥65 years who had a screening PSA test in 2003 at a Veterans Affairs facility. The primary predictor was the use of statin medications at the time of index screening PSA test. The main outcome was the screening PSA value. Poisson regressions were performed to calculate adjusted relative risks for having an abnormal screening PSA result according to statin usage.

Results

Percentages of men with PSA results exceeding commonly used thresholds of >2.5, >4.0, and >6.5 ng/mL were 21.0%, 7.6%, and 1.6%, respectively. These percentages decreased with statin use, increasing statin dose, duration of statin use, and potency of the statin. For example, after adjusting for age, the percentage of men having a PSA level >4.0 ng/mL ranged from 8.2% in non-statin users to 6.2% in men prescribed with >40 mg of simvastatin dose. Adjusted relative risks of having a PSA level >4.0 ng/mL were 0.89 (95% confidence interval [CI], 0.86-0.93), 0.87 (95% CI, 0.84-0.91), and 0.83 (95% CI, 0.80-0.87), respectively for men on simvastatin dose of 5-20, >20-40, and >40 mg vs non-statin users.

Conclusion

Statin use is associated with a reduction in the probability that an older man will have an abnormal screening PSA result, regardless of the PSA threshold. This reduction is more pronounced with higher statin dose, longer statin duration, and higher statin potency.

Background

Little is known about how often contextual factors such as patient preferences and competing priorities impact prescribing of guideline-recommended medications, or about the extent to which these factors are documented in medical records and available to performance measurement systems.

Methods

Mixed-methods study of 295 veterans aged 50 years and older in 4 VA health care systems who had systolic heart failure and were not prescribed a β-blocker and/or an angiotensin converting enzyme inhibitor or angiotensin-receptor blocker. Reasons for nontreatment were identified from clinic notes and from interviews with 62 primary care clinicians caring for these patients. These reasons were classified using a published taxonomy.

Results

Among 295 patients not receiving guideline-recommended drugs for heart failure, chart review identified biomedical reasons for nonprescribing in 42%-58% of patients and contextual reasons in 11%-17%. Clinician interviews identified twice as many reasons for nonprescribing as chart review (mean 1.6 vs. 0.8 reasons per patient, P<0.001). In these interviews, biomedical reasons for nonprescribing were cited in 50%-70% of patients, and contextual reasons in 64%-70%. The most common contextual reasons were comanagement with other clinicians (32%-35% of patients), patient preferences and nonadherence (15%-24%), and clinician belief that the medication is not indicated in the patient (12%-20%).

Conclusions

Contextual reasons for not prescribing angiotensin converting enzyme inhibitor / angiotensin-receptor blockers and β-blockers are present in two thirds of patients with heart failure who did not receive these medications, yet are poorly documented in medical records. The structure of medical records should be improved to facilitate documentation of contextual reasons for not providing guideline-recommended care.

Objectives

To determine patterns of co-occurring diseases in older adults and the extent to which these patterns vary between the young-old and the old-old.

Design

Observational study.

Setting

Department of Veterans Affairs.

Participants

Veterans aged 65 years and older (1.9 million male, mean age 76 ± 7; 39,000 female, mean age 77 ± 8) with two or more visits to Department of Veterans Affairs (VA) or Medicare settings in 2007 and 2008.

Measurements

The presence of 23 common conditions was assessed using hospital discharge diagnoses and outpatient encounter diagnoses from the VA and Medicare.

Results

The mean number of chronic conditions (out of 23 possible) was 5.5 ± 2.6 for men and 5.1 ± 2.6 for women. The prevalence of most conditions increased with advancing age, although diabetes mellitus and hyperlipidemia were 11% to 13% less prevalent in men and women aged 85 and older than in those aged 65 to 74 (P < .001 for each). In men, the most common three-way combination of conditions was hypertension, hyperlipidemia, and coronary heart disease, which together were present in 37% of men. For women, the most common combination was hypertension, hyperlipidemia, and arthritis, which co-occurred in 25% of women. Reflecting their high population prevalence, hypertension and hyperlipidemia were both present in 9 of the 15 most common three-way disease combinations in men and in 11 of the 15 most common combinations in women. The prevalence of many disease combinations varied substantially between young-old and old-old adults.

Conclusions

Specific combinations of diseases are highly prevalent in older adults and inform the development of guidelines that account for the simultaneous presence of multiple chronic conditions.

OBJECTIVES: To assess psychometric properties of two scales developed to measure the quality of person-centered care during pregnancy and childbirth in the United States-the Person-Centered Prenatal Care (PCPC-US) and Person-Centered Maternity Care (PCMC-US) scales-in a low-income predominantly Latinx population in California. METHODS: Data were collected from July 2020 to June 2023 from surveys of low-income pregnant and birthing people in Fresno, California, participating in the Engaging Mothers and Babies; Reimagining Antenatal Care for Everyone (EMBRACE) trial. Research staff administered the 26-item PCPC-US scale at 30-34 weeks gestation (n = 315) and the 35-item PCMC-US scale at 10-14 weeks after birth (n = 286), using the language preferred by the participant (English or Spanish). We assessed construct, criterion, and known group validity and internal consistency of the scales. RESULTS: 78% of respondents identified as Latinx. Factor analysis identified one dominant factor for each scale that accounted for over 60% of the cumulative variance, with most items loading at > 0.3. The items also loaded adequately on sub-scales for dignity and respect, communication and autonomy, and responsive and supportive care. Cronbachs alpha for the full scales were > 0.9 and between 0.70 and 0.87 for the sub-scales. Summative scores range from 0 to 100, with higher scores indicating higher person-centered care. Correlations with scores on scales measuring prenatal care quality and birth experience provided evidence for criterion validity, while associations with known predictors provided evidence for known-group validity. CONCLUSIONS: The PCPC-US and PCMC-US scales, which were developed using a community-engaged process and found to have good psychometric properties in a largely high-income sample of Black women, were shown to also have good psychometric properties in a sample of low-income primarily Latinx women. Both scales provide valid and reliable tools to measure person-centered care experiences among minoritized communities to support efforts to reduce existing birth inequities.